Table 4.
EHR software package as determinant of compliance with three data quality criteria: results from multivariable logistic regression analyses
| EHR software package | Use of subject headings (N = 134)* | Use of prescription module (N = 134)* | Recording home visits (N = 173)* | ||||||
|---|---|---|---|---|---|---|---|---|---|
| OR | 95%CI | P | OR | 95%CI | P | OR | 95%CI | P | |
| Other system | 1 | 1 | 1 | ||||||
| Health One© | 4.02 | 1.21-13.34 | 0.023 | 2.34 | 0.88-6.25 | 0.089 | 1.01 | 0.44-2.31 | 0.982 |
| Windoc© | 0.82 | 0.28-2.36 | 0.713 | 0.62 | 0.22-1.76. | 0.373 | 0.58 | 0.24-1.42 | 0.235 |
| Medidoc© | 4.15 | 1.03-16.69 | 0.045 | 1.51 | 0.49-4.68 | 0.475 | 0.86 | 0.33-2.25 | 0.765 |
Abbreviations: OR: Odds Ratio; CI: confidence intervals; P: statistical significance
Significant P-values are in bold.
* In the three multivariable models, we adjusted for gender, age (under median and median or higher), community and practice organisation. GPs with a compliance rate equalling or exceeding the median value (1) were compared to GPs with a compliance rate under the median value (0).